…Touch Typing from Surface Electromyography ## Overview **Dataset**: emg2qwerty - Touch typing from wrist…
…handwriting - Imagined handwriting from wrist-based surface electromyography **Task**: Air-writing (imagined…
…wrist - Wrist posture and movement from wrist-based surface electromyography **Task**: 1D…
…discrete_gestures - Discrete hand gestures from wrist-based surface electromyography **Task**: Nine…
…electrospinography (ESG), electroneurography (ENG), and electromyography (EMG) recordings from 26 participants. There…
…electrospinography (ESG), electroneurography (ENG), and electromyography (EMG) recordings from 40 participants. There…
…The source paper describes emg2pose as a wrist surface electromyography benchmark for…
…dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration…
A BIDS-formatted high-density surface EMG (HDsEMG) dataset from 16 young volunteers performing submaximal (10-80% MVC) isometric ankle dorsiflexions (tibialis anterior, n=8) or knee extensions (vastus lateralis, n=8). Signals were recorded with four 64-electrode arrays (256 channels in total) together with force signals, supporting the decomposition of extensive motor unit samples and the study of rate coding. It is a BIDS conversion of the data from Avrillon et al. 2024, produced with the MUniverse software.
A BIDS-formatted dataset of high-density surface EMG (HDsEMG) recordings from the right tibialis anterior of six healthy male participants. Four 64-channel grids (256 electrodes) recorded trapezoidal isometric dorsiflexion contractions at 30% and 50% of maximal voluntary contraction, together with force signals. The dataset supports studies of electrode grid design and motor unit identification.